Energy and Carbon Footprint-Aware Management of Geo-Distributed Cloud Data Centers

Author:

Khosravi Atefeh1,Buyya Rajkumar1

Affiliation:

1. The University of Melbourne, Australia

Abstract

Cloud computing provides on-demand access to computing resources for users across the world. It offers services on a pay-as-you-go model through data center sites that are scattered across diverse geographies. However, cloud data centers consume huge amount of electricity and leave high amount of carbon footprint in the ecosystem. This makes data centers responsible for 2% of the global CO2 emission. Therefore, having energy and carbon-efficient techniques for resource management in distributed cloud data centers is inevitable. This chapter presents a taxonomy and classifies the existing research works based on their target system, objective, and the technique they use for resource management in achieving a green cloud computing environment. Finally, it discusses how each work addresses the issue of energy and carbon-efficiency and also provides an insight into future directions.

Publisher

IGI Global

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Knowledge Infrastructure Data Wizard (KIDW): A Cooperative Approach for Data Management and Knowledge Dissemination;Lecture Notes in Networks and Systems;2024

2. Adoption of Green Cloud Computing for Environmental Sustainability;Advances in Environmental Engineering and Green Technologies;2023-12-29

3. Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. Power and Performance Issues and Management Approaches in Cloud Computing;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

5. Accelerating the Energy Efficient Design of Traditional Data Centers Through Modeling;2022 IEEE International Conference on Networking, Architecture and Storage (NAS);2022-10

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